Tag Archives: link discovery

HOBBIT Benchmarking Platform version 2

We are happy to announce the release of the second version of the HOBBIT Benchmarking Platform. During the last months, we improved the stability of the platform as well as the set of features it supports. The full list of the features implemented in version 2 are listed below. Improved the usability of the platform […]

Read More

Benchmarking Versioning Systems with SPVB v2.0

There exist a number of storage benchmarks that test the ability of Linked Data systems to store and query data in an efficient way without addressing the management of data versions. To the best of our knowledge only a limited number of versioning systems (mostly academic) and benchmarks exist for storing versions and testing the […]

Read More

Concurrent version of the Data Storage Benchmark

In one of our previous blog posts, we presented the approaches regarding the data storage benchmark. We introduced important modifications to the synthetic data generator and the dataset of the Social Network Benchmark, developed in the context of the FP7 Linked Data Benchmarking Council (LDBC), and transformed its SQL queries to SPARQL, all while preserving […]

Read More

Ontology Matching (OM 2017)

Since 2004 OAEI organises campaigns aiming at evaluating ontology matching tools and technologies. This year FORTH along with HOBBIT participated in the OAEI 2017 Instance Matching Track and introduced the HOBBIT Link Discovery Track. The Tasks come with two datasets the Sandbox and Mainbox characterized by the number of instances to match (i.e., scale). The […]

Read More

Come and meet the HOBBIT Project @ ISWC-2017

The H2020 project HOBBIT proudly  organises the BLINK 2017 and co-organises the NLIWoD3 at ISWC 2017.  In addition to the workshops, HOBBIT organises the QALD Challenge on Question Answering and participates with the Link Discovery Task at the OAEI Ontology Matching Workshop. We will present all events in the following. The BLINK and NLIWoD3 accepted […]

Read More

Benchmarking Query Answering Systems for Linked Data using HOBBIT Benchmarks

“Alexa, how is the traffic?” This is one of the questions I ask most mornings in my kitchen, while trying to estimate whether I still have the time to complete my slow and painful brain-wake-up sequence or I should rush out, before the roads to work begin to fill up. After the initial excitement, regular […]

Read More

Architecture of the HOBBIT Platform

During the runtime of the HOBBIT project, we have collected several requirements from the community which should be fulfilled by a Big Linked Data benchmarking platform. All these requirements influenced the final architecture of our platform. However, this blog post will focus on its central functionality: we want to offer a platform that enables any […]

Read More

A platform for benchmarking Big Linked Data solutions

One of the major goals of the HOBBIT project is to provide a benchmarking platform supporting the benchmarking of Big Linked Data solutions. This platform needs to a) enable benchmarking in a b) scalable way on c) different platforms and d) support the execution of benchmarking challenges. Additionally, the platform should be made available as […]

Read More

Faceted Browsing: approaches and benchmark

Faceted browsing stands for a session-based and state-dependent interactive method for query formulation over a multi-dimensional information space. It provides a user with an effective way for exploration of a search space. After having defined the initial search space, i.e., the set of resources of interest to the user, a browsing scenario consists of applying […]

Read More